Dein persönlicher KI-Karriere-Agent
Master Thesis in Air & Thermal Systems Energy Management(m/w/x)
Data-driven modeling for aircraft air systems and pneumatic-electric architectures. Experience with large datasets and Machine Learning techniques preferred. 35-hour week, mobile working possible.
Anforderungen
- Enrollment in a Master’s degree program in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or relevant field
- Strong theoretical background in thermodynamics, fluid dynamics, control systems, electrical power systems, and optimization methods
- Practical knowledge of MATLAB/Simulink and/or Python for modeling, simulation, and data analysis
- Good understanding of aircraft systems, particularly the Environmental Control System (ECS) and electrical power generation/distribution
- Experience with large datasets and Machine Learning techniques for system identification or predictive control
- Fluency in English (written and spoken)
Aufgaben
- Develop data-driven models for aircraft air systems
- Analyze energy demand across various flight phases
- Investigate pneumatic-electric system architectures
- Assess impact on aircraft energy consumption
- Conduct trade-off analyses between performance and energy consumption
- Implement optimization strategies in simulation environments
- Evaluate potential fuel savings and system impact
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MATLAB
- Simulink
- Python
Benefits
Flexibles Arbeiten
- Work-life balance with a 35-hour week
- Flexible working hours
- Mobile working possible
Sonstige Vorteile
- Travel opportunities
Lockere Unternehmenskultur
- International environment
Moderne Technikausstattung
- Modern technology
Team Events & Ausflüge
- Full team integration
Karriere- und Weiterentwicklung
- Networking opportunities
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Master Thesis in Air & Thermal Systems Energy Management(m/w/x)
Data-driven modeling for aircraft air systems and pneumatic-electric architectures. Experience with large datasets and Machine Learning techniques preferred. 35-hour week, mobile working possible.
Anforderungen
- Enrollment in a Master’s degree program in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or relevant field
- Strong theoretical background in thermodynamics, fluid dynamics, control systems, electrical power systems, and optimization methods
- Practical knowledge of MATLAB/Simulink and/or Python for modeling, simulation, and data analysis
- Good understanding of aircraft systems, particularly the Environmental Control System (ECS) and electrical power generation/distribution
- Experience with large datasets and Machine Learning techniques for system identification or predictive control
- Fluency in English (written and spoken)
Aufgaben
- Develop data-driven models for aircraft air systems
- Analyze energy demand across various flight phases
- Investigate pneumatic-electric system architectures
- Assess impact on aircraft energy consumption
- Conduct trade-off analyses between performance and energy consumption
- Implement optimization strategies in simulation environments
- Evaluate potential fuel savings and system impact
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MATLAB
- Simulink
- Python
Benefits
Flexibles Arbeiten
- Work-life balance with a 35-hour week
- Flexible working hours
- Mobile working possible
Sonstige Vorteile
- Travel opportunities
Lockere Unternehmenskultur
- International environment
Moderne Technikausstattung
- Modern technology
Team Events & Ausflüge
- Full team integration
Karriere- und Weiterentwicklung
- Networking opportunities
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Airbus Operations GmbH
Branche
Aerospace
Beschreibung
Das Unternehmen setzt sich für Vielfalt und ein inklusives Arbeitsumfeld ein.
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